All the models, training and testing procedures are implemented in PyTorch [1]}, and the transformations considered are implemented with use of \(\texttt {Kornia}\)  framework [2]}. We use architectures, training parameters and procedures from [3]} and evaluate our approach on 500 random test samples for each experiment, following [4]}.
